Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magnetic Resonance Images (MRI) and clinical records of...

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Main Authors: Weiss, Rebecca J (Author), Bates, Sara V (Author), Song, Ya'nan (Author), Zhang, Yue (Author), Herzberg, Emily M (Author), Chen, Yih-Chieh (Author), Gong, Maryann M. (Author), Chien, Isabel (Author), Zhang, Lily (Author), Murphy, Shawn N (Author), Gollub, Randy L (Author), Grant, P. E (Author), Ou, Yangming (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: BioMed Central, 2020-07-17T19:27:08Z.
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